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Generative AI enhances individual creativity but reduces the collective diversity of novel content

Authors: Doshi, A. R.; Hauser, O. P. · Year: 2024 · Tier: RCT · DOI/URL: https://doi.org/10.1126/sciadv.adn5290

Adults / lifelong learning Creativity AI and learning

Links to claims

Limits (1)

ClaimBasis
C2Adults, story writing: LLM ideas raised the rated creativity of the product made with AI and homogenised stories across writers. Measures performance with the tool, not later unaided skill, so it does not test C2; context for creative tasks. Abstract only.

Review state: first-pass draft, pending human review.

Source note

Syntes: Doshi (2024): writers given LLM story ideas wrote stories rated more creative, but the stories were more alike

Källa: Doshi, A. R.; Hauser, O. P. (2024). Generative AI enhances individual creativity but reduces the collective diversity of novel content. Science Advances 10(28), eadn5290. https://doi.org/10.1126/sciadv.adn5290

Verified content (abstract (Crossref record); full text not read, so sample sizes are not recorded here, checked 2026-10-14)

Why it is in the library

Added in a targeted search for studies that measure creativity directly (theme: kreativitet), for Jonatan's lecture on creativity, AI and learning.

Metadata as recorded

ID
CRE-001
Tier
RCT
Creativity measured directly
yes
Titel
Generative AI enhances individual creativity but reduces the collective diversity of novel content
Författare
Doshi, A. R.; Hauser, O. P.
År
2024 (Science Advances 10(28), eadn5290)
Källa/DOI
https://doi.org/10.1126/sciadv.adn5290
URL
https://doi.org/10.1126/sciadv.adn5290
Typ
online experiment: adult writers wrote short stories with no AI, or with one or five story ideas from an LLM; stories rated by independent evaluators
Åldersgrupp
vuxen-livslangt
Teman
kreativitet;ai-och-larande
Hämtad
2026-10-14
Read
abstract (Crossref record); full text not read, so sample sizes are not recorded here
Tillagd
creativity search 2026-10-14 (requested by Jonatan via Noll); links pending human review
Full text (fetched 2026-10-16, legal open-access copy, private)
fulltext.pdf + — via unpaywall: https://arxiv.org/pdf/2312.00506

The original files (PDF or abstract) are kept in the project archive and are not published here.